Biology subjects

Lester, H. A.

Publications and source records attributed to Lester, H. A..

8 recordsLinked to original sources

bioRxiv2026

Using Latent Chemical Recognition in an Evolved Periplasmic Binding Protein Family to Diversify Biosensors

Genetically encoded fluorescent biosensors have gained traction in neuroscience as continuous, reagentless reporters of cellular activity in situ. These sensors, often soluble, can also provide time-resolution in multiple biosensing form factors: benchtop and wearable devices, lyophilized powder tests, and smartphone-based diagnostic tests. These biosensors often take advantage of naturally occurring conformation-switching but require extensive screening to optimize the linkers to a fluorescent reporter. Each new target ligand often requires its own engineering campaign. We asked whether sensors evolved towards a particular target retain useful recognition scope for others. We screened a family of 18 OpuBC-cpGFP sensors evolved toward nicotinic agonists, SSRIs, opioids, and other neural drugs, against 63 structurally diverse compounds. We found that 24 ligands activated at least one biosensor with {Delta}F/F0 > 0.3, sufficient to begin directed evolution, with 8 of those ligands activating at least one biosensor with {Delta}F/F0 > 1.0, the regime of dynamic range usable in end applications. With 124 ligand-biosensor pairs in total, we found multiple leads suitable for directed evolution. Most notably, ligands participating in hits spanned well beyond neural drugs and included DEHP, ergothioneine, ciprofloxacin, thiamine, betahistine, L-carnitine, and L-thyroxine. Across the biosensor family, mutation distance weakly predicted substrate scope. In particular, we observed sequence-function cliffs that could be exploited for future protein engineering campaigns. Thus, broad screening of performant scaffolds offers rapid bootstrapping in biosensor engineering particularly for exogenous molecules.

bioengineering↗

bioRxiv2024

Hydrogel encapsulation of a designed fluorescent protein biosensor for continuous measurements of sub-100 nanomolar nicotine

The reinforcing and addictive properties of nicotine result from concentration- and time-dependent activation, desensitization, and upregulation of nicotinic acetylcholine receptors. However, time-resolved [nicotine] measurement in people who consume nicotine is challenging, as current approaches are expensive, invasive, tedious, and discontinuous. To address the challenge of continuous nicotine monitoring in human biofluids, we report the encapsulation of a purified, previously developed fluorescent biosensor protein, iNicSnFR12, into acrylamide hydrogels and polyethylene glycol diacrylate (PEGDA) hydrogels. We optimized the hydrogels for optical clarity and straightforward slicing. With fluorescence photometry of the hydrogels in a microscope and an integrated miniscope, [nicotine] is detected within a few min at the smoking- and vaping-relevant level of 10 - 100 nM (1.62 - 16.2 ng/ml), even in a 250 {micro}m thick hydrogel at the end of 400 {micro}m dia multimode fiber optic. Concentration-response relations are consistent with previous measurements on isolated iNicSnFR12. Leaching of iN-icSnFR12 from the hydrogel and inactivation of iNicSnFR12 are minimal for several days, and nicotine can be detected for at least 10 months after casting. This work provides the molecular, photophysical, and mechanical bases for personal, wearable continuous [nicotine] monitoring, with straightforward extensions to existing, homologous "iDrugSnFR" proteins for other abused and prescribed drugs.

neuroscience↗

bioRxiv2024

Correspondence of fentanyl brain pharmacokinetics and behavior measured via engineering opioids biosensors and computational ethology

Despite the ongoing epidemic of opioid use disorder and death by fentanyl overdose, opioids remain the gold standard for analgesics. Pharmacokinetics (PK) dictates the individuals experience and utility of drugs; however, PK and behavioral outcomes have been conventionally studied in separate groups, even in preclinical models. To bridge this gap, we developed the first class of sensitive, selective, and genetically encodable fluorescent opioid biosensors, iOpioidSnFRs, including the fentanyl sensor, iFentanylSnFR. We expressed iFentanylSnFR in the ventral tegmental area of mice and recorded [fentanyl] alongside videos of behaviors before and after administration. We developed a machine vision routine to quantify the effects of the behavior on locomotor activity. We found that mice receiving fentanyl exhibited a repetitive locomotor pattern that paralleled the [fentanyl] time course. In a separate experiment, mice navigating a complex maze for water showed a dose-dependent impairment in navigation, in which animals repeated incorrect paths to the exclusion of most of the unexplored maze for the duration of the average fentanyl time course. This approach complements classical operant conditioning experiments and introduces a key feature of human addiction, the ability to carry out an ethologically relevant survival task, only now quantified in rodents. Finally, we demonstrate the utility of iFentanylSnFR in detecting fentanyl spiked into human biofluids and the generalizability of engineering methods to evolve selective biosensors of other opioids, such as tapentadol and levorphanol. These results encourage diagnostic and continuous monitoring approaches to personalizing opioid regimens for humans.

neuroscience↗

bioRxiv2023

Interactive computational and experimental approaches improve the sensitivity of periplasmic binding protein-based nicotine biosensors for measurements in biofluids

We developed fluorescent protein sensors for nicotine with improved sensitivity. For iNicSnFR12 at pH 7.4, the proportionality constant for {Delta}F/F0 vs [nicotine] ({delta}-slope, 2.7 M-1) is 6.1-fold higher than the previously reported iNicSnFR3a. The activated state of iNicSnFR12 has a fluorescence quantum yield of at least 0.6. We measured similar dose-response relations for the nicotine-induced absorbance increase and fluorescence increase, suggesting that the absorbance increase leads to the fluorescence increase via the previously described nicotine-induced conformational change, the "candle snuffer" mechanism. Molecular dynamics (MD) simulations identified a binding pose for nicotine, previously indeterminate from experimental data. MD simulations also showed that Helix 4 of the periplasmic binding protein (PBP) domain appears tilted in iNicSnFR12 relative to iNicSnFR3a, likely altering allosteric network(s) that link the ligand binding site to the fluorophore. In thermal melt experiments, nicotine stabilized the PBP of the tested iNicSnFR variants. iNicSnFR12 resolved nicotine in diluted mouse and human serum at 100 nM, the peak [nicotine] that occurs during smoking or vaping, and possibly at the decreasing levels during intervals between sessions. NicSnFR12 was also partially activated by unidentified endogenous ligand(s) in biofluids. Improved iNicSnFR12 variants could become the molecular sensors in continuous nicotine monitors for animal and human biofluids.

bioengineering↗

bioRxiv2022

Selective Serotonin Reuptake Inhibitors Within Cells: Temporal Resolution in Cytoplasm, Endoplasmic Reticulum, and Membrane

Selective serotonin reuptake inhibitors (SSRIs) are the most prescribed treatment for individuals experiencing major depressive disorder (MDD). The therapeutic mechanisms that take place before, during, or after SSRIs bind the serotonin transporter (SERT) are poorly understood, partially because no studies exist of the cellular and subcellular pharmacokinetic properties of SSRIs in living cells. We studied escitalopram and fluoxetine using new intensity- based drug-sensing fluorescent reporters ("iDrugSnFRs") targeted to the plasma membrane (PM), cytoplasm, or endoplasmic reticulum (ER) of cultured neurons and mammalian cell lines. We also employed chemical detection of drug within cells and phospholipid membranes. The drugs attain equilibrium in neuronal cytoplasm and ER, at approximately the same concentration as the externally applied solution, with time constants of a few s (escitalopram) or 200-300 s (fluoxetine). Simultaneously, the drugs accumulate within lipid membranes by [≥] 18-fold (escitalopram) or 180-fold (fluoxetine), and possibly by much larger factors. Both drugs leave cytoplasm, lumen, and membranes just as quickly during washout. We synthesized membrane-impermeant quaternary amine derivatives of the two SSRIs. The quaternary derivatives are substantially excluded from membrane, cytoplasm, and ER for > 2.4 h. They inhibit SERT transport-associated currents 6- or 11-fold less potently than the SSRIs (escitalopram or fluoxetine derivative, respectively), providing useful probes for distinguishing compartmentalized SSRI effects. Although our measurements are orders of magnitude faster than the "therapeutic lag" of SSRIs, these data suggest that SSRI-SERT interactions within organelles or membranes may play roles during either the therapeutic effects or the "antidepressant discontinuation syndrome". SIGNIFICANCE STATEMENTSelective serotonin reuptake inhibitors stabilize mood in several disorders. In general, these drugs bind to the serotonin (5-hydroxytryptamine) transporter (SERT), which clears serotonin from CNS and peripheral tissues. SERT ligands are effective and relatively safe; primary care practitioners often prescribe them. However, they have several side effects and require 2 to 6 weeks of continuous administration until they act effectively. How they work remains perplexing, contrasting with earlier assumptions that the therapeutic mechanism involves SERT inhibition followed by increased extracellular serotonin levels. This study establishes that two SERT ligands, fluoxetine and escitalopram, enter neurons within minutes, while simultaneously accumulating in many membranes. Such knowledge will motivate future research, hopefully revealing where and how SERT ligands "engage" their therapeutic target(s).

neuroscience↗

bioRxiv2022

Three Mutations Convert the Selectivity of a Protein Sensor From Nicotinic Agonists to S-Methadone For Use in Cells, Organelles, and Biofluids

We report a reagentless, intensity-based S-methadone fluorescent sensor, iS-methadoneSnFR, consisting of a circularly permuted GFP inserted within the sequence of a mutated bacterial periplasmic binding protein (PBP). We evolved a previously reported nicotine-binding PBP to become a selective S-methadone-binding sensor, via three mutations in the PBPs second shell and hinge regions. iS-methadoneSnFR displays the necessary sensitivity, kinetics, and selectivity - notably enantioselectivity against R-methadone - for biological applications. Robust iS-methadoneSnFR responses in human sweat and saliva and mouse serum enable diagnostic uses. Expression and imaging in mammalian cells demonstrate that S-methadone enters at least two organelles and undergoes acid trapping in the Golgi apparatus, where opioid receptors can signal. This work shows a straightforward strategy in adapting existing PBPs to serve real-time applications ranging from subcellular to personal pharmacokinetics.

bioengineering↗

bioRxiv2021

Fluorescence Activation Mechanism and Imaging of Drug Permeation with New Sensors for Smoking-Cessation Ligands

Nicotinic partial agonists provide an accepted aid for smoking cessation and thus contribute to decreasing tobacco-related disease. Improved drugs constitute a continued area of study. However, there remains no reductionist method to examine the cellular and subcellular pharmacokinetic properties of these compounds in living cells. Here, we developed new intensity-based drug sensing fluorescent reporters ("iDrugSnFRs") for the nicotinic partial agonists dianicline, cytisine, and two cytisine derivatives - 10-fluorocytisine and 9-bromo-10-ethylcytisine. We report the first atomic-scale structures of liganded periplasmic binding protein-based biosensors, accelerating development of iDrugSnFRs and also explaining the activation mechanism. The nicotinic iDrugSnFRs detect their drug partners in solution, as well as at the plasma membrane (PM) and in the endoplasmic reticulum (ER) of cell lines and mouse hippocampal neurons. At the PM, the speed of solution changes limits the growth and decay rates of the fluorescence response in almost all cases. In contrast, we found that rates of membrane crossing differ among these nicotinic drugs by > 30 fold. The new nicotinic iDrugSnFRs provide insight into the real-time pharmacokinetic properties of nicotinic agonists and provide a methodology whereby iDrugSnFRs can inform both pharmaceutical neuroscience and addiction neuroscience.

pharmacology and toxicology↗

bioRxiv2020

A fast genetically encoded fluorescent sensor for faithful in vivo acetylcholine detection in mice, fish, worms and flies

Here we design and optimize a genetically encoded fluorescent indicator, iAChSnFR, for the ubiquitous neurotransmitter acetylcholine, based on a bacterial periplasmic binding protein. iAChSnFR shows large fluorescence changes, rapid rise and decay kinetics, and insensitivity to most cholinergic drugs. iAChSnFR revealed large transients in a variety of slice and in vivo preparations in mouse, fish, fly and worm. iAChSnFR will be useful for the study of acetylcholine in all animals.

neuroscience↗